46 results about "Material hardness" patented technology

The invention belongs to the technical field of tool wear measurement, and particularly relates to a machining center tool wear state early warning method based on multi-source data fusion, and the method comprises the steps: calculating a cutting power consumption characteristic through a main shaft load energy mapping model according to the original sampling current and the real-time feeding speed of a main shaft; sliding window sampling is carried out on the cutting power consumption characteristics, and the cutting state disorder degree is calculated; performing nonlinear coupling on the power consumption gradient item and the cutting state disorder degree to obtain a grinding loss stability coefficient; and establishing a dynamic statistical reference surface, and performing cutter state early warning according to the deviation degree of the grinding loss stability coefficient monitored in real time. Instantaneous interference caused by uneven material hardness is effectively recognized and eliminated, meanwhile, signal structure disorder at the initial stage of tool failure is captured, the technical problems that in die steel machining, due to material structure segregation and variable working conditions, the false alarm rate is high, and failure precursor capturing is difficult are solved, and the machining precision is improved. And the monitoring accuracy of the precision machining process is obviously improved.

The invention relates to a method and a product for eliminating helium bubble defects in nuclear power steel, which comprises the following steps of: treating the nuclear power steel which is damaged by helium ion irradiation to generate helium bubble gathering and surface hardening by pulse current, eliminating the helium bubble defects, recovering the surface hardness of the nuclear power steel, and realizing dynamic self-repairing of irradiation damaged tissues of the nuclear power steel. The method is suitable for pulse current elimination of irradiation helium bubble defects of nuclear power steel such as austenitic stainless steel and austenite-ferrite duplex stainless steel, and is also suitable for pulse current elimination of irradiation helium bubble defects of any metal material. Experiments prove that helium bubbles induced by irradiation cause serious hardening of the surface of the material, and after the helium bubbles are eliminated through pulse current treatment, nanoindentation tests show that the hardness of the material is remarkably reduced and basically returns to the original level before irradiation. The method has the advantages of short treatment time and low energy consumption, and can effectively prolong the service life of key components such as nuclear-grade main pipelines.

The invention discloses a material hardness prediction method based on temperature gradient control, and belongs to the field of material thermal characteristic analysis. The method specifically comprises the following steps: S10, trial-manufacturing a test piece, and designing arrayed cylindrical blind holes in the bottom of the test piece; s20, a heating resistor is additionally arranged in the blind hole, and accurate temperature control over the test piece is achieved by controlling current; s30, measuring the real-time temperature of the key point of the test piece on the upper surface of the test piece by adopting temperature sensors such as PT100 and the like; s40, measuring the hardness value of the material near the corresponding temperature measuring point on the upper surface by using a hardness tester; and S50, a temperature-hardness data model is obtained through fitting by drawing a temperature and hardness curve.

The invention belongs to the technical field of alloy foil preparation, and particularly relates to a preparation method of a FeCrCoW4.5 alloy foil. Comprising the following steps that N passes of cold rolling are conducted on a FeCrCoW4.5 alloy blank, N is larger than or equal to 3, the deformation amount of each pass of cold rolling is 40-70%, annealing treatment is conducted at the temperature of 1000-1200 DEG C after the last pass, work hardening generated by cold rolling is eliminated, final cold rolling is conducted after annealing treatment till the thickness is 0.06 mm, and the alloy foil is obtained. Through multi-pass cold rolling and annealing combined machining, during cold rolling, a large number of dislocation and other defects can be generated in a material, so that the hardness of the material is increased, and the plasticity is reduced; and annealing is carried out after multi-pass cold rolling, atoms in the material can obtain certain energy, dislocation and other defects are rearranged and combined, and part of the defects are eliminated, so that the hardness of the material is reduced, certain plasticity is recovered, and the comprehensive mechanical property of the material is improved.

The present application belongs to the technical field of data processing, and particularly relates to a kind of spring forming equipment operating state monitoring and fault early warning method, its method includes: through the operating state data of key servo shaft, the torque stiffness is calculated, and the forming cycle is automatically divided into elastic contact, plastic forming and unloading demoulding phase;In the plastic forming phase, the influence of raw material hardness fluctuation is stripped by calculating the dynamic rheological resistance index of material and the upper limit of dynamic current;At the same time, the energy topology consistency coefficient containing position weighting function is calculated to capture the slight waveform distortion;Finally, a comprehensive fault early warning index is constructed based on the above index, and the equipment is warned or stopped in stages.The present application can effectively decouple material attribute fluctuation and mechanical failure, and improve the detection sensitivity of early failure.

The invention relates to the technical field of material hardness detection, in particular to a special detection tool for hard alloy holding-up hammer hardness detection, which comprises a detector, and the detector comprises a lifting platform for placing a holding-up hammer; the special detecting tool for detecting the hardness of the hard alloy holding-up hammer further comprises a bearing unit, the bearing unit is arranged on the lifting table and comprises a supporting piece arranged above the lifting table, and a bearing part used for placing the holding-up hammer is installed on the supporting piece. The leveling unit is matched with the bearing unit, it can be ensured that the leveling lower pressing plate in the leveling unit is attached to the detected face of the holding-up hammer, then it is ensured that the detected face of the holding-up hammer is in the horizontal state, a clamp does not need to be manually adjusted in advance, and the working efficiency is improved. The change from the mode that the clamp actively controls the levelness of the holding-up hammer detection face to the mode that the clamp is attached to the horizontal detection face in a self-adaptive mode is achieved, and the risk of levelness deviation caused by clamp abrasion is avoided.

The invention discloses a bending control method and system for steel structure production, and relates to the field of metal processing. The method comprises the following steps: receiving steel structure bending request information of a user side; extracting material hardness, material extension parameters and steel thickness in the bending direction; the interactive bending assembly is used for receiving the initial bending control parameters; generating a k factor prediction value through a k factor prediction module; when the k factor prediction value does not meet a k factor threshold value, optimization is carried out through a bending optimization module; and the steel to be bent is pushed to enter the bending die lower die, and when the expected bending position is met, the bending die upper die is controlled to conduct stamping and bending. The technical problems that the reliability of the calculation result of an empirical formula is poor and bending control is inaccurate due to the fact that the k factor is directly calculated in a traditional mode but the influence factors of the k factor are complex and diverse are solved, and the technical effects that the accuracy of the k factor is ensured and the bending process is accurately controlled are achieved by adopting an advanced control algorithm and a sensor technology.

A non-ferrous metal rolling and trimming device belongs to the field of non-ferrous metal shearing technology. The invention includes a body with a top frame fixedly connected to its top. The top frame contains a trimming buffer mechanism, and the bottom of the inner wall of the top frame has a downward locking mechanism. The downward locking mechanism includes a mounting rod connected at its top to the bottom of the inner wall of the top frame. The mounting rod is connected to a limiting rod via a pressure limiting mechanism. A through groove is formed in the side wall of the mounting rod, allowing it to slide along the outer wall of the fixed rod via a sliding plate. This extends the contact time between the cutter and the hard area, reducing rigid impact cutting to a buffered cutting method. This avoids changes in cutting stress due to fluctuations in material hardness, preventing edge instability. It also extends the service life of the trimming saw and avoids rigid hard impact during cutting. The burr height and crack incidence at the trimming edge are significantly reduced, improving the flatness and smoothness of the trimmed edge.

The invention discloses a plasticity constitutive parameter inversion method for a zinc sulfide infrared optical brittle material, and belongs to the technical field of material mechanical property characterization. According to the method, a zinc sulfide material nanoindentation simulation model is constructed, a nanoindentation experiment is carried out, meanwhile, an Oliver-Pharr method and a Johnson-Cook constitutive equation are adopted to obtain actual material hardness, elastic modulus and plasticity parameters of zinc sulfide to serve as input material parameters, and an automatic simulation experiment is carried out; the method comprises the following steps: acquiring a simulation displacement-load curve under different constitutive parameter combinations, performing prediction optimization on the displacement-load curve by using a prediction network to obtain a Pareto frontier solution, and constructing an inversion model by using an entropy weight method to obtain an optimal solution in a Pareto frontier solution set. According to the research, accurate characterization of the plasticity constitutive behavior of the zinc sulfide infrared optical brittle material is realized, and reliable method support can be provided for constitutive parameter identification and intelligent modeling of other brittle polycrystalline materials.

本发明公开了兼具高硬度高韧性的α‑SiAlON / TiN复相陶瓷材料、制备方法及其应用，属于合金切削刀具技术领域。该制备方法采用放电等离子烧结工艺对制备好的原料粉末进行烧结，最终制得的α‑SiAlON / TiN复相陶瓷材料由TiN和α‑SiAlON两相组成，两相间界面结合良好，界面表现出阶梯状结构。本发明将TiN颗粒添加到α‑SiAlON陶瓷中，实现了较高强度的两相界面及显著延长的裂纹扩展路径，合成了性能优异的α‑SiAlON / TiN复相陶瓷材料，硬度大于20GPa，断裂韧性大于6.5 MPa·m1 / 2。

A material hardness automatic detection device disclosed by the present invention is characterized in that a detection assembly comprises a lifting mechanism, a leveling mechanism, a rotating mechanism, a buffer mechanism and a positioning mechanism, the lifting mechanism is connected with a detection device, the lifting mechanism is used for controlling the lifting of the detection device, a detection platform is installed on the positioning mechanism, and a detection tool is positioned through the positioning mechanism. The positioning mechanism is installed on the leveling mechanism through the buffer mechanism, the rotating mechanism is connected with the positioning mechanism and used for controlling the positioning mechanism to rotate, the detection tool is clamped and positioned through the positioning mechanism, the detection tool is prevented from falling off from the detection platform in the detection process, the use stability of the device is improved, and meanwhile the detection efficiency is improved. The detection platform is inclined by a certain angle through the leveling mechanism, so that the surface of a to-be-detected material is in a parallel state, the detection accuracy of the device on different materials is improved, and a buffer mechanism is arranged to buffer the detection platform during detection, so that the use durability of the device is ensured.

The application discloses a simple method for predicting notched tensile strength through material hardness, and belongs to the technical field of material science and engineering. bn The method uses the hardness value H of the material and the notched tensile strength σ bn to fit the relationship between H and σ bn , thereby establishing a formula for predicting the notched tensile strength of other metal materials in the same series. The method is simple and fast in data acquisition, effectively improves the efficiency of obtaining the notched tensile strength of the material, guarantees the integrity of the equipment structure, and can be applied in the fields of manufacturing, nuclear power and aviation.

Wear-resistant reinforced cutting tool (10), comprising: a tool body (12) with a first end (12m) and an opposite second end (12b) and with a plate seat (12g), wherein the plate seat (12g) comprises a cylindrical inner side wall (12i), an outer side wall (12h) and a bottom (12j) extending from the cylindrical inner side wall (12i) to the outer side wall (12h); a support (16) fixedly attached to the tool body (12), wherein the first end (12m) of the tool body (12) is arranged adjacent to the support (16); at least one wear-resistant element (18) fixedly attached to the tool body (12) within the insert seat (12g), wherein the at least one wear-resistant element (18) is arranged adjacent to the first end (12m) of the tool body (12); and a cutting tip (20) firmly attached to the carrier (16); wherein the carrier (16), the at least one wear-resistant element (18) and the cutting tip (20) each have a material hardness that is greater than that of the tool body (12); wherein the support (16) completely covers the first end (12m) of the tool body (12) and adjoins at least one wear-resistant element (18).

1. The name of the design product: portable Brinell hardness tester (with load display). 2. The use of the design product: the design product is used for measuring the hardness of metal materials, especially suitable for detecting metal workpieces with low hardness, coarse or uneven organization. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The present application relates to the technical field of pulverizer, and more particularly to a pulverizing equipment modular wear rack plate and a replacement method thereof, which comprises the following steps: acquiring the wear rate value, material hardness value, water content, body vibration amplitude value and original assembly gap value of each module wear rack plate in real time; judging whether there is a particle embedding risk based on the particle embedding risk coefficient; determining whether the embedded particles cause abnormal wear based on the material hardness value and the wear rack plate hardness; identifying whether there is local abnormal wear based on the wear rate mutation coefficient; deciding to execute a single module or group replacement strategy and generating an instruction based on the joint replacement urgency coefficient; calculating the replacement effect compliance coefficient after replacement to verify the replacement effect; and calculating the correction coefficient based on the effect compliance deviation to optimize the characteristic parameters in the replacement process. The present application solves the problems of damage of the split type wear rack plate caused by micro displacement due to particle embedding gap and accurate replacement of the wear rack plate.

This application belongs to the field of cemented carbide materials technology, specifically a binderless cemented carbide, its preparation method, and cutting tools. The cemented carbide composition is: 0.2wt%~0.8wt% Ti, 0.2wt%~1.2wt% Cr, 0wt%~0.5wt% Ni, with the balance being W, C, and unavoidable impurities. Its microstructure includes a WC matrix hard phase and a (W,Ti)C solid solution needle-like reinforcing phase, and the long axis direction of the needle-like reinforcing phase has a preferred orientation within the cemented carbide, with an orientation degree of not less than 80%. In the preparation method, by adopting a Ti and Cr micro-co-alloying composition design, combined with a two-step process of pulsed plasma activated growth and pressure-induced orientation, a high-strength needle-like reinforcing phase + reinforced interface composite structure is successfully constructed in the nano WC matrix, thereby simultaneously achieving ultra-high hardness and high fracture toughness of the binderless cemented carbide, fundamentally solving the core contradiction of the difficulty in achieving both hardness and toughness in this type of material; and realizing in-situ precise control of the morphology and distribution of the reinforcing phase.

A novel multi-component (W,Ti,Y)C superhard material, wherein the superhard material is (W 1‑a‑b Ti a ,Y b C, where 0.1 ≤ a ≤ 0.3, 0.01 ≤ b ≤ 0.05. The (W) 1‑a‑b Ti a ,Y b (W,Ti,Y)C is prepared by ball milling a (W,Ti,Y)C composite powder and a binder phase Co powder at a mass ratio of 92:6, followed by pulsed current-assisted pressure sintering. This invention achieves a synergistic improvement in material hardness and toughness through innovative multi-component design. Secondly, by optimizing the preparation process, effective solid solution of Ti and Y is promoted under relatively low temperature conditions (≤1600℃), forming a fine-grained structure (≤500nm), achieving both high hardness (HV30≥2800) and high toughness (KIC≥15 MPa·m). 1 / 2 The significant improvement in hardness breaks the traditional dilemma of hardness and toughness being at odds; at the same time, it significantly reduces energy consumption (≤80kWh / kg), thereby enhancing the product's market competitiveness.

The invention belongs to the technical field of data processing, and particularly relates to a running state monitoring and fault early warning method for spring forming equipment, which comprises the following steps of: calculating torque rigidity through running state data of a key servo shaft, and automatically dividing a forming period into an elastic contact phase, a plastic forming phase and an unloading demolding phase; in a plastic forming phase, the influence of hardness fluctuation of the raw material is stripped by calculating a dynamic rheological resistance index and a dynamic current upper limit of the material; meanwhile, an energy topology consistency coefficient containing a position weighting function is calculated so as to capture tiny waveform distortion; and finally, constructing a comprehensive fault early warning index based on the indexes, and carrying out graded early warning or shutdown on the equipment. According to the method, material attribute fluctuation and mechanical faults can be effectively decoupled, and the detection sensitivity of early faults is improved.

The invention relates to a method for verifying a hardness measurement of small-volume bulk materials, wherein the hardness measurement is carried out in a fracture chamber of a testing device. The testing device has a camera with which the hardness measurement process can be recorded. The method comprises the following successive steps: - in a first step, a bulk material of a specific batch is provided in the fracture chamber of the testing device; - in a second step, a hardness measurement is carried out on the bulk material, whereby the bulk material is broken up so that a value for the hardness of at least one bulk material is obtained, whereby the value for the measured hardness is saved, the camera records the process of the hardness measurement and the resulting recording is also saved, - in a third step, it is checked whether the determined value for hardness is an outlier and - in a fourth step, the recording is checked to determine whether the outlier is a faulty hardness measurement.

The invention relates to the technical field of material detection, in particular to a material hardness testing method and an optical testing system. The method for testing the hardness of the material comprises the following steps of: measuring a material testing area to which a load is not applied and a material testing area to which a standardized load is applied in sequence to respectively obtain an initial optical color coordinate value and a changed optical color coordinate value; based on the initial optical chromaticity coordinate value and the changed chromaticity coordinate value, obtaining the optical chromaticity variable quantity of the to-be-tested material before and after being pressed; and judging the hardness grade of the to-be-detected material based on the optical chromaticity variation. According to the testing method and the testing system provided by the embodiment of the invention, non-destructive detection on the hardness of the material can be realized, the equipment cost is reduced, and the testing efficiency is improved.

The present application relates to the field of high-end equipment manufacturing fusion nuclear energy material hardness detection, and discloses a kind of nanohardness evaluation method of fusion energy material, comprising: obtaining the nanoin dentation test data of material to be measured after no irradiation and ion irradiation;Radiation induced defect density distribution model is constructed, wherein x is material depth;Based on the distribution model and dislocation hardening theory, the evaluation model of the hardness of material after irradiation changes with the depth of indentation h is established;Based on the nanoin dentation test data, the material parameters in the evaluation model are determined using piecewise fitting strategy to calculate and evaluate the nanohardness of material at different depths.The present application uses polynomial fitting defect density distribution, which can more accurately describe the actual ion irradiation damage gradient compared to power-law distribution.

The utility model relates to the technical field of building materials, and discloses a fixing component for detecting the hardness of a building material, which comprises a base, a vertical rod and a bottom plate, and the bottom of the bottom plate is fixedly arranged at the top of the vertical rod. By arranging the base, the vertical rod, the bottom plate, the fixing mechanism, the positioning mechanism, the moving mechanism, the supporting mechanism and the mounting ring, firstly, a glass plate is mounted on the bottom plate, then the moving mechanism is opened, a double-shaft motor rotates, the double-shaft motor drives a lead screw to rotate, the lead screw drives a threaded plate to move, the threaded plate drives a fixing plate to move, and the fixing plate drives a protection plate to move; the protective plate moves to the glass plate, then the threaded rod is rotated, the threaded rod drives the positioning plate to move, and the positioning plate moves to the glass plate, so that the glass plate is fixed, and the problems that in the prior art, the glass plate is generally fixed manually, the fixing efficiency is low, the fixing effect is poor, and the detection efficiency is reduced are solved.

The invention discloses a high-precision milling process method suitable for a complex curved surface. The high-precision milling process method comprises the following steps: carrying out streamline path design, generating a continuous tool path based on a curved surface parameter optimization direction, reducing tool lifting times, and avoiding path mutation by adopting a curved surface constraint algorithm; a five-axis positioning machining strategy is adopted, the curved surface is divided into a plurality of feature areas, cutter inclination angle machining is fixed, and linkage shaft error accumulation is avoided; implementing a cutter adaptation scheme, selecting a combination of a thermal shrinkage cutter handle and a hard alloy ball-end milling cutter, and matching a cutter coating according to the material hardness; a streamline and five-axis positioning coupling technology, a regional inclination angle database and a tool vibration suppression model are adopted, the good effects that the surface roughness Ra is smaller than or equal to 0.6 micrometer, the machining efficiency is improved by 25%, and the surface shape precision pv value is smaller than 1 micrometer are finally achieved, meanwhile, the service life of a tool is prolonged by 30%, and the debugging time is remarkably shortened.

According to the adjustable positioning and clamping device for machining the inner groove of the threaded cartridge valve connecting sleeve, the inner arcs of the fixed block and the follow-up block are optimally attached to the positioning and clamping outer circle of the threaded connecting sleeve, and the material hardness of the fixed block and the follow-up block is lower than that of the threaded connecting sleeve, so that the adjustable positioning and clamping device can adapt to the threaded connecting sleeves of different grades; only the fixed block and the follow-up block need to be replaced, secondary clamping damage cannot be caused, the universality is good, and the maintenance cost is low; the outer circle of the threaded connection sleeve and other matched cavities with the position precision requirement are obtained through one-time machining in the previous procedure, the outer end plane of the threaded connection sleeve and other matched cavities with the position precision requirement are also obtained through one-time machining in the previous procedure, and the position precision of the threaded connection sleeve and the position precision of the matched cavities are both guaranteed by a machine tool. During secondary clamping, the outer circle is completely attached, positioned and clamped, and positioning errors and punching precision errors caused by heavy cutting force do not exist; the relative position of the fixed block after the position precision is adjusted is kept still, so that the consistency of batch production precision is ensured.

The invention is suitable for the technical field of material sorting, and provides a multi-agent material sorting cooperative execution method driven by cluster scheduling. Comprising the following steps: constructing a material box static stacking state stability evaluation model according to the height of a material box from the ground, the contact area of the material box and other material boxes and the inclination angle of the bottom surface of the material box relative to the horizontal plane, and outputting a material box static stacking state stability evaluation coefficient; and according to the volume of the material box, the surface roughness of the material box and the material hardness of the material box, constructing a self-state evaluation model of the material box. The suction force can be accurately adjusted according to the stacking stability of the material box, the dynamic parameters of the clamping device and the real-time change of environmental interference factors, the suction force is automatically reduced to avoid structural damage when the material box is prone to damage, the suction force is improved to guarantee the carrying success rate when the environment is severe or clamping is mismatched, and meanwhile energy waste is reduced through dynamic adjustment.

The present invention relates to devices (10) and methods for producing a profile on a circumferential surface (16) of a (cylindrical) workpiece (14). The device (10) according to the invention comprises a test device (11) and a cold forming machine (12), wherein one or more characteristic hardness values ​​(17) of the workpiece (14) to be processed are determined and assigned to it in the test device (11). The feed position (26) of the at least one forming tool (21) of the cold forming machine (12) is determined and adjusted based on the characteristic hardness value (17) assigned to the workpiece (14). The characteristic hardness value (17) corresponds at least approximately to the actual hardness of the workpiece (14) to be processed. Based on this information, the feed position of the forming tool can be determined.the forming tools relative to the workpiece are selected in such a way that variations in the material hardness of the workpieces (14), which may occur from batch to batch as well as from workpiece (14) to workpiece (14) within a batch, can be compensated by the device and method according to the invention.

The present application relates to the technical field of data processing, and in particular to a computer numerical control system data desensitization method based on machine learning. The method takes the real-time cutting load sequence of the numerical control system based on the spindle position, eliminates the influence of speed fluctuation; linear fitting is performed with the standard cutting load sequence stored locally as the independent variable and the real-time cutting load sequence as the dependent variable, decoupling is performed to obtain the fitting slope representing the material hardness coefficient and the residual sequence representing the wear characteristic component; the material hardness coefficient is used for normalization processing of the characteristic component and energy density is calculated to generate the grinding energy accumulation value; the grinding energy accumulation value, the material hardness coefficient and the fault occurrence position are uploaded to the cloud storage and fault early warning is performed. The present application embodiment can realize data desensitization without uploading the original data of the workpiece geometry, effectively solving the technical problems of tool wear monitoring false alarm and workpiece geometry privacy leakage caused by material hardness fluctuation.

The invention belongs to the technical field of precision non-traditional machining, and relates to a water-jet-guided laser composite drilling machining device and method, which comprises a control system, a water-jet-guided laser electric spindle, a water jet device, a laser module and a three-axis motion platform. In-situ laser heating pretreatment is utilized, materials are subjected to thermal modification, the hardness of the materials is reduced, an initial guide hole is formed, then water jet and a drill bit are coupled for synchronous machining, the hardness of the materials is reduced, meanwhile, microcracks are inhibited, the surface of a tool and the inner wall of the hole are prevented from being coated with slag, and real-time removal of cuttings is promoted; the problems that in the cutting process, the heat affected zone is large, the hole wall quality is poor, cuttings are difficult to remove, and a tool is seriously abraded are solved, and high-precision, high-efficiency and low-damage drilling machining of metal-based, ceramic-based and other difficult-to-machine composite material thick plate holes is met.